Elizabeth S Munroe, Alexandra Spicer, Andrea Castellvi-Font, Ann Zalucky, Jose Dianti, Emma Graham Linck, Victor Talisa, Martin Urner, Derek C Angus, Elias Baedorf-Kassis, Bryan Blette, Lieuwe D Bos, Kevin G Buell, Jonathan D Casey, Carolyn S Calfee, Lorenzo Del Sorbo, Elisa Estenssoro, Niall D Ferguson, Rachel Giblon, Anders Granholm, Ewan C Goligher
{"title":"Evidence-based personalised medicine in critical care: a framework for quantifying and applying individualised treatment effects in patients who are critically ill","authors":"Elizabeth S Munroe, Alexandra Spicer, Andrea Castellvi-Font, Ann Zalucky, Jose Dianti, Emma Graham Linck, Victor Talisa, Martin Urner, Derek C Angus, Elias Baedorf-Kassis, Bryan Blette, Lieuwe D Bos, Kevin G Buell, Jonathan D Casey, Carolyn S Calfee, Lorenzo Del Sorbo, Elisa Estenssoro, Niall D Ferguson, Rachel Giblon, Anders Granholm, Ewan C Goligher","doi":"10.1016/s2213-2600(25)00054-2","DOIUrl":"https://doi.org/10.1016/s2213-2600(25)00054-2","url":null,"abstract":"Clinicians aim to provide treatments that will result in the best outcome for each patient. Ideally, treatment decisions are based on evidence from randomised clinical trials. Randomised trials conventionally report an aggregated difference in outcomes between patients in each group, known as an average treatment effect. However, the actual effect of treatment on outcomes (treatment response) can vary considerably between individuals, and can differ substantially from the average treatment effect. This variation in response to treatment between patients—heterogeneity of treatment effect—is particularly important in critical care because common critical care syndromes (eg, sepsis and acute respiratory distress syndrome) are clinically and biologically heterogeneous. Statistical approaches have been developed to analyse heterogeneity of treatment effect and predict individualised treatment effects for each patient. In this Review, we outline a framework for deriving and validating individualised treatment effects and identify challenges to applying individualised treatment effect estimates to inform treatment decisions in clinical care.","PeriodicalId":51307,"journal":{"name":"Lancet Respiratory Medicine","volume":"44 1","pages":""},"PeriodicalIF":76.2,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143837070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michael G Ison, Alberto Papi, Eugene Athan, Robert G Feldman, Joanne M Langley, Dong-Gun Lee, Isabel Leroux-Roels, Federico Martinon-Torres, Tino F Schwarz, Richard N van Zyl-Smit, Susanna Cuadripani, Quentin Deraedt, Nancy Dezutter, Catherine Gerard, Laurence Fissette, Stebin Xavier, Marie-Pierre David, Aurélie Olivier, Marie Van der Wielen, Dominique Descamps, Manuel Zocco
{"title":"Efficacy, safety, and immunogenicity of the AS01E-adjuvanted respiratory syncytial virus prefusion F protein vaccine (RSVPreF3 OA) in older adults over three respiratory syncytial virus seasons (AReSVi-006): a multicentre, randomised, observer-blinded, placebo-controlled, phase 3 trial","authors":"Michael G Ison, Alberto Papi, Eugene Athan, Robert G Feldman, Joanne M Langley, Dong-Gun Lee, Isabel Leroux-Roels, Federico Martinon-Torres, Tino F Schwarz, Richard N van Zyl-Smit, Susanna Cuadripani, Quentin Deraedt, Nancy Dezutter, Catherine Gerard, Laurence Fissette, Stebin Xavier, Marie-Pierre David, Aurélie Olivier, Marie Van der Wielen, Dominique Descamps, Manuel Zocco","doi":"10.1016/s2213-2600(25)00048-7","DOIUrl":"https://doi.org/10.1016/s2213-2600(25)00048-7","url":null,"abstract":"<h3>Background</h3>Duration of protection after respiratory syncytial virus (RSV) vaccination is unknown. This study aimed to evaluate efficacy and safety over three RSV seasons of the AS01<sub>E</sub>-adjuvanted RSV prefusion F protein-based vaccine (RSVPreF3 OA) against RSV-related lower respiratory tract disease (RSV-LRTD) in older adults.<h3>Methods</h3>In this randomised, observer-blind, placebo-controlled, phase 3 trial (AReSVi-006), participants aged 60 years or older in 275 centres (ie, GP practices and clinical research sites) across 17 countries in Africa, Asia, Oceania, Europe, and North America were randomly assigned (1:1) to receive RSVPreF3 OA or placebo before RSV season one. RSVPreF3 OA recipients were re-randomly assigned (1:1) before RSV season two to receive a second RSVPreF3 OA dose (RSV revaccination group) or placebo (RSV single-dose group). Recipients of placebo before RSV season one also received placebo before season two (placebo group). The primary objective (efficacy against first occurrence of RSV-LRTD over one RSV season) was reported previously. Confirmatory secondary objectives were to demonstrate efficacy over three RSV seasons of a single RSVPreF3 OA dose and of a first dose followed by revaccination 1 year later, against RSV-LRTD, overall and by RSV subtype (success criteria: lower limits of two-sided CIs around efficacy estimates >20% [RSV-LRTD] and >0% [RSV-LRTD by RSV subtype]). This study is registered with <span><span>ClinicalTrials.gov</span><svg aria-label=\"Opens in new window\" focusable=\"false\" height=\"20\" viewbox=\"0 0 8 8\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\"></path></svg></span>, <span><span>NCT04886596</span><svg aria-label=\"Opens in new window\" focusable=\"false\" height=\"20\" viewbox=\"0 0 8 8\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\"></path></svg></span>, and is complete.<h3>Findings</h3>Participants were enrolled between May 25, 2021, and Jan 31, 2022. Efficacy analyses included 12 468 RSVPreF3 OA recipients and 12 498 placebo recipients. Cumulative efficacy over three seasons of one RSVPreF3 OA dose was 62·9% (97·5% CI 46·7–74·8) against RSV-LRTD, 69·8% (42·2–85·7) against RSV A-related LRTD, and 58·6% (35·9–74·1) against RSV B-related LRTD (median follow-up from day 15 post-dose one 30·6 months [IQR 26·2–32·0]). Efficacy was observed over three seasons among participants aged 60–69 years, participants aged 70–79 years, pre-frail participants (ie, those with a walking speed of 0·4–0·99 m/s in a gait speed test), and participants with pre-existing conditions that increase the RSV-LRTD risk. Efficacy against RSV-LRTD decreased over time. A first RSVPreF3 OA dose followed by revaccination 1 year later had an efficacy that was within the same range as that of one dose. RSVPreF3 OA showed a clinically acceptable safety profile. Between dose one and trial end, eight (<1%) particip","PeriodicalId":51307,"journal":{"name":"Lancet Respiratory Medicine","volume":"75 1","pages":""},"PeriodicalIF":76.2,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143827308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The big five vexing questions of respiratory syncytial virus immunisation","authors":"Farina Leonie Shaaban, Louis J Bont","doi":"10.1016/s2213-2600(25)00093-1","DOIUrl":"https://doi.org/10.1016/s2213-2600(25)00093-1","url":null,"abstract":"No Abstract","PeriodicalId":51307,"journal":{"name":"Lancet Respiratory Medicine","volume":"60 1","pages":""},"PeriodicalIF":76.2,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143827309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aoife Leonard, Brian O’Brien, Ian Conrick-Martin, Karen Healy, Alan Gaffney
{"title":"The passage of Ireland's Human Tissue Act: challenges, consequences, and cross-border cooperation","authors":"Aoife Leonard, Brian O’Brien, Ian Conrick-Martin, Karen Healy, Alan Gaffney","doi":"10.1016/s2213-2600(25)00090-6","DOIUrl":"https://doi.org/10.1016/s2213-2600(25)00090-6","url":null,"abstract":"No Abstract","PeriodicalId":51307,"journal":{"name":"Lancet Respiratory Medicine","volume":"27 1","pages":""},"PeriodicalIF":76.2,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143822851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fleur L Meulmeester, Samuel Mailhot-Larouche, Carlos Celis-Preciado, Samuel Lemaire-Paquette, Sanjay Ramakrishnan, Michael E Wechsler, Guy Brusselle, Jonathan Corren, Jo Hardy, Sarah E Diver, Christopher E Brightling, Mario Castro, Nicola A Hanania, David J Jackson, Neil Martin, Annette Laugerud, Emilio Santoro, Chris Compton, Megan E Hardin, Cecile T J Holweg, Simon Couillard
{"title":"Inflammatory and clinical risk factors for asthma attacks (ORACLE2): a patient-level meta-analysis of control groups of 22 randomised trials","authors":"Fleur L Meulmeester, Samuel Mailhot-Larouche, Carlos Celis-Preciado, Samuel Lemaire-Paquette, Sanjay Ramakrishnan, Michael E Wechsler, Guy Brusselle, Jonathan Corren, Jo Hardy, Sarah E Diver, Christopher E Brightling, Mario Castro, Nicola A Hanania, David J Jackson, Neil Martin, Annette Laugerud, Emilio Santoro, Chris Compton, Megan E Hardin, Cecile T J Holweg, Simon Couillard","doi":"10.1016/s2213-2600(25)00037-2","DOIUrl":"https://doi.org/10.1016/s2213-2600(25)00037-2","url":null,"abstract":"<h3>Background</h3>Clinical risk factors for severe asthma attacks have been identified, but their incremental prognostic values are unclear. Additionally, the incremental contribution of type 2 inflammation, a common, treatable process, is undetermined. We aimed to quantify the prognostic value of baseline characteristics and type 2 inflammatory biomarkers, specifically blood eosinophil count and fractional exhaled nitric oxide (FeNO), to predict asthma attacks.<h3>Methods</h3>In this systematic review and meta-analysis of randomised controlled trials (RCTs), Oxford Asthma Attack Risk Scale 2 (ORACLE2), we searched MEDLINE from Jan 1, 1993, to April 1, 2021, for trials investigating fixed treatment regimen effects on asthma attack rates for at least 6 months with baseline blood eosinophil count and FeNO. Eligible participants were aged 12 years or older with asthma (any severity) who had been randomly assigned to the control group of an RCT. Relevant trials were manually retrieved and reviewed by two independent reviewers (SC and IDP). Disagreements were discussed with five reviewers. Individual patient data (IPD) for meta-analysis were requested from study authors. We investigated the rate of severe asthma attacks (≥3 days of systemic corticosteroids) for at least 6 months and prognostic effects of baseline blood eosinophil count and FeNO in control group participants. Rate ratios (RRs) with 95% CIs were derived for annualised asthma attack rates from negative binomial models adjusted for key variables, including blood eosinophil count and FeNO, and interactions between these type 2 inflammatory biomarkers were explored. Certainty of evidence was assessed using GRADE. The heterogeneity of the included studies and potential for ecological bias were quantified by the concordance statistic (C-statistic). This study was registered with PROSPERO, CRD42021245337.<h3>Findings</h3>We identified 976 potentially eligible studies. After automated screening, we manually reviewed 219 full-text articles. Of these, 19 publications comprising 23 RCTs were eligible. 6513 participants (4140 [64%] female; 2370 [36%] male; three missing) spanning 22 RCTs were included for data analysis. 5972 (92%) of 6513 patients had moderate-to-severe asthma. 4615 asthma attacks occurred during 5482 person-years of follow-up (annualised rate 0·84 per person-year). Higher blood eosinophil count or FeNO was linked to higher asthma attack risk (per 10-fold increase, RR 1·48 [95% CI 1·30–1·68] for blood eosinophil count and 1·44 [1·26–1·65] for FeNO; high-certainty evidence). Other prognostic factors were attack history (yes <em>vs</em> no, RR 1·94 [1·61–2·32]); disease severity (severe <em>vs</em> moderate, RR 1·57 [1·22–2·03]); FEV<sub>1</sub> percentage predicted (FEV<sub>1</sub>%; per 10% decrease, RR 1·11 [1·08–1·15]); and 5-item Asthma Control Questionnaire score (ACQ-5; per 0·5 increase, RR 1·10 [1·07–1·13]). High blood eosinophil count and FeNO combined were associated with ","PeriodicalId":51307,"journal":{"name":"Lancet Respiratory Medicine","volume":"14 1","pages":""},"PeriodicalIF":76.2,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143806005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}